The relative timing of a motor-sensory event can be recalibrated after exposure to delayed visual feedback. Here we examined the neural consequences of lag adaptation using event-related potentials (ERPs). Participants tapped their finger on a pad, which triggered a flash either after a short delay (0 ms/50 ms) or a long delay (100 ms/150 ms). Following the exposure phase, they judged the temporal order of a synchronous tap-flash test stimulus. The synchronous flash was more often perceived to occur before the tap after exposure to long than short delays, indicating that the temporal relation between the tap and the flash was realigned. ERPs evoked by the synchronous tap-flash test stimulus showed that adaptation to delayed flashes caused an early attenuation of the visual P1 (85 ms-150 ms), and a later negativity at central electrodes (N450). The P1-attenuation may reflect the unexpected earliness of the test flash, or a violation of "cause-before-consequence". The N450 may be due to realignment of the adapted and the actual timing of the tap-flash interval. We conclude that motor-visual temporal recalibration has consequences at early perceptual levels of visual processing and involves a high-level recalibration mechanism.
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http://dx.doi.org/10.1016/j.brainres.2011.04.045 | DOI Listing |
Conscious Cogn
December 2024
Department of Business and Marketing, Faculty of Commerce, Kyushu Sangyo University, 3-1 Matsukadai 2-Chome, Higashi-ku, Fukuoka 813-8503, Japan. Electronic address:
Biosensors (Basel)
December 2024
Optoelectronics and Measurement Techniques Research Unit, University of Oulu, 90570 Oulu, Finland.
There is an ongoing search for a reliable and continuous method of noninvasive blood pressure (BP) tracking. In this study, we investigate the feasibility of utilizing seismocardiogram (SCG) signals, i.e.
View Article and Find Full Text PDFMed Image Anal
February 2025
Department of Computer and Data Science and Department of Biomedical Engineering, Case Western Reserve University, USA.
CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps within complex colonoscopy video scenes remains challenging since existing methods ignore two key issues: intra-sequence distribution heterogeneity and precision-confidence discrepancy. To address these challenges, we propose a novel Temporal-Spatial self-correction detector (TSdetector), which first integrates temporal-level consistency learning and spatial-level reliability learning to detect objects continuously.
View Article and Find Full Text PDFCross-modal temporal recalibration guarantees stable temporal perception across ever-changing environments. Yet, the mechanisms of cross-modal temporal recalibration remain unknown. Here, we conducted an experiment to measure how participants' temporal perception was affected by exposure to audiovisual stimuli with consistent temporal delays.
View Article and Find Full Text PDFmedRxiv
September 2024
Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
Importance: Declining mortality in the field of pediatric critical care medicine has shifted practicing clinicians' attention to preserving patients' neurodevelopmental potential as a main objective. Earlier identification of critically ill children at risk for incurring neurologic morbidity would facilitate heightened surveillance that could lead to timelier clinical detection, earlier interventions, and preserved neurodevelopmental trajectory.
Objective: Develop machine-learning models for identifying acquired neurologic morbidity while hospitalized with critical illness and assess correlation with contemporary serum-based, brain injury-derived biomarkers.
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